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Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
#23998 is harder because it spans dashboard form state, arbitrary-parameter serialization, and persistence across reloads, while #27144 is a more localized streaming-event translation fix with focused regression coverage.
}
https://github.com/berriai/litellm/issues/23998 3:2 https://github.com/berriai/litellm/issues/27144
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The left issue spans shared authorization logic, persistence state, optional callback behavior, cache invalidation, endpoint symmetry, and regression coverage across deployment modes. The right issue is a narrower onboarding integration fix involving request-header propagation and likely limited frontend/backend changes.
}
https://github.com/berriai/litellm/issues/35564 4:1 https://github.com/berriai/litellm/issues/34659
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue requires changes across provider routing, request translation, feature-flag precedence, compatibility behavior, and regression coverage. The left issue is primarily documentation and examples, with minimal implementation risk.
}
https://github.com/berriai/litellm/issues/32489 4:1 https://github.com/berriai/litellm/issues/18158
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue spans request-mode propagation across synchronous and asynchronous paths, provider-specific translation, and response normalization, creating broader regression risk. The left issue is more localized to usage extraction and cost accounting with a narrower behavioral surface.
}
https://github.com/berriai/litellm/issues/34094 3:1 https://github.com/berriai/litellm/issues/22984
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
Changing the authorization boundary requires tracing authentication and provisioning paths, defining safe backward-compatible semantics, and adding security-focused regression coverage; the other is primarily localized parameter plumbing across provider branches with focused tests.
}
https://github.com/berriai/litellm/issues/35532 3:1 https://github.com/berriai/litellm/issues/28882
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue is harder because it changes security-sensitive authentication flow across multiple request paths, requiring compatibility analysis, configuration semantics, regression coverage, and careful validation of authorization and budget enforcement. The left issue is narrower, mainly involving defensive handling in streaming aggregation and hook error behavior.
}
https://github.com/berriai/litellm/issues/35526 3:1 https://github.com/berriai/litellm/issues/32051
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
Issue #26214 is harder because it requires cross-provider request translation, parameter compatibility analysis, and integration validation across the proxy and client workflow. Issue #28020 is a localized comparison fix with a focused regression test.
}
https://github.com/berriai/litellm/issues/26214 4:1 https://github.com/berriai/litellm/issues/28020
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The left task spans backend schema modeling, OpenAPI integration, validation compatibility, and documentation or regression coverage. The right task is more likely an isolated dashboard rendering or data-handling correction with narrower testing scope.
}
https://github.com/berriai/litellm/issues/16623 4:1 https://github.com/berriai/litellm/issues/28935
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue is substantially harder because it involves diagnosing and integrating with an external subscription-backed provider, handling authentication and anti-bot behavior, and validating proxy-side image-generation flows. The left issue is a contained CLI composition task with limited code, packaging, and test changes.
}
https://github.com/berriai/litellm/issues/27755 10:1 https://github.com/berriai/litellm/issues/35036
Sorting LiteLLM GitHub issues by difficulty to implement. Higher = harder.

{
The right issue is harder because it requires changes to asynchronous batch-state handling, persistence semantics, cleanup behavior, and regression coverage, with greater risk of duplicate processing or lifecycle regressions. The left issue is comparatively localized to dependency packaging and image validation.
}
https://github.com/berriai/litellm/issues/35354 4:1 https://github.com/berriai/litellm/issues/27183
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